MIT Center for Deployable Machine Learning

Was just reminded of CDML, recently established. Would further continue to like to see more about the practical deployment of related and integrated processes for practical decision making.

The MIT Center for Deployable Machine Learning (CDML) works towards creating AI systems that are robust, reliable and safe for real-world deployment.

Our Mission

The impressive—often "super-human"—performance of state-of-the-art learning systems creates a major expectation that broad deployment of machine learning will revolutionize almost every aspect of our lives. However, fulfilling this expectation requires ML that is robust to a variety of random and adversarial corruptions, provides reliable decision-making, and is understandable and easy to work with for humans, even if they have no ML expertise. The goal of the MIT Center for Deployable Machine Learning (CDML) is to bring together the broad expertise and focused effort needed to build ML systems that are safe, robust, and reliable enough to be confidently and responsibly deployed in the real world.  .... 

Further an article in MIT News on this:

“Doing machine learning the right way”
Professor Aleksander Madry strives to build machine-learning models that are more reliable, understandable, and robust.
By Rob Matheson  ....